IBM has made a significant $1 billion investment in its partner ecosystem, underscoring its commitment to empowering businesses like yours. This investment is designed to equip partners with the essential resources needed to thrive and innovate, leveraging IBM’s industry-leading hybrid cloud and AI platform to develop cutting-edge software solutions for your customers. Together, we are forging powerful solutions that propel our clients’ businesses forward through seamless digital transformation.
In line with this commitment, IBM has recently unveiled a suite of embeddable AI libraries, specifically engineered to enable partners to craft groundbreaking AI-driven solutions. IBM is dedicated to facilitating the seamless integration and adoption of its advanced AI technologies through the innovative Digital Self-Serve Co-Create Experience (DSCE). This platform is revolutionizing how partners interact with and utilize IBM’s AI capabilities.
The IBM Build Lab team has meticulously developed the DSCE to act as a digital counterpart to its established high-touch engagement model. The DSCE is designed to provide a scalable self-service experience tailored to the needs of tens of thousands of Independent Software Vendors (ISVs) who are eager to integrate IBM’s embeddable AI into their offerings. By leveraging the DSCE self-serve portal, partners gain the autonomy to explore and experiment with the newly launched IBM embeddable AI portfolio. This comprehensive portfolio includes IBM Watson Libraries, IBM Watson APIs, and IBM applications, all available for exploration at your own pace and convenience. Furthermore, the DSCE’s intuitive, digitally guided experience streamlines the process for partners to efficiently package and deploy their software solutions at scale, making innovation more accessible and impactful.
Your Gateway to Embeddable AI with IBM’s Self-Serve Approach
The IBM Build Lab team actively collaborates with qualified ISVs to develop compelling Proofs of Experience (PoX). These PoXs effectively demonstrate the substantial value derived from combining IBM’s Hybrid Cloud and AI technologies to create inventive solutions that deliver distinct market advantages. This collaborative approach is central to IBM’s serve co strategy, emphasizing partnership and shared success.
DSCE is engineered as a wizard-driven experience, ensuring ease of use and efficiency. Users are guided through contextual questions, and in response, the system intelligently suggests prescriptive assets, relevant educational resources, and trial opportunities. This streamlined process significantly accelerates the integration of IBM technology into partner products. Instead of requiring partners to manually navigate through numerous IBM websites and repositories in search of potentially useful information and resources, DSCE automates this legwork. It proactively delivers pertinent assets, educational materials, and trial access based on the partner’s specified development objectives. The DSCE guided pathway directs users to valuable reference architectures, insightful tutorials, industry best practices, ready-to-use boilerplate code, and interactive sandboxes. This curated approach provides a customized roadmap, complete with essential assets and education, specifically designed to expedite your adoption of IBM AI technologies.
Embark on a Task-Oriented Journey with Self-Serve Tools
DSCE is meticulously designed to seamlessly accommodate both data scientists and machine learning operations (ML-Ops) engineers, recognizing the diverse roles involved in AI solution development. This user-centric design is a key component of IBM’s serve co philosophy, ensuring tools are accessible and beneficial for all partners.
Consider Miles, a data scientist aiming to refine an emotion classification model to better understand customer happiness. His startup specializes in analyzing customer feedback for retail e-commerce businesses. To enhance the quality of his analysis, particularly focusing on highly satisfied customers, Miles selects a Watson NLP emotion classification model. He plans to fine-tune this model using an algorithm capable of predicting ‘happiness’ with greater accuracy than pre-trained models. This sophisticated model customization is achievable in just a few straightforward steps within DSCE:
- Navigate to https://dsce.ibm.com
- Select “Find and try AI”
- Choose “Build with AI Libraries”
- Opt for “Build with Watson NLP”
- Select “Emotion classification”
- Choose “Library and container”
- Proceed to “Custom train the model”
- Access the comprehensive “Results Page”
The bookmarkable Results Page offers a holistic collection of resources tailored for both training and deploying a model. For the specific task of “Training the Model,” Miles can explore interactive demos to gain hands-on experience, reserve a dedicated Watson Studio environment for development, easily copy code snippets from a Jupyter notebook for integration, and access a wealth of other valuable tools and resources. This level of detailed support exemplifies IBM’s commitment to serve co by providing partners with everything they need to succeed.
Furthermore, if Miles, or his ML-Ops counterpart, Leena, needs to “Deploy the Model,” they can effortlessly gain access to a trial license and container for the innovative Watson NLP Library, valid for 180 days. From there, packaging and deploying the solution becomes remarkably straightforward across various platforms, including Kubernetes, Red Hat OpenShift, AWS Fargate, or IBM Code Engine. It truly is that simple to bring your AI innovations to life with IBM’s serve co experience.
Experience Embeddable AI Today Through Self-Service
Don’t wait to revolutionize your AI-enabled innovations. Explore the DSCE experience now at https://dsce.ibm.com/ and accelerate your journey towards AI-driven solutions. DSCE is continuously expanding to incorporate more IBM embeddable offerings, aligning with modern developer preferences for digital and self-service experiences. This evolution will empower thousands of ISVs to innovate rapidly and in parallel. Your feedback is invaluable as we continue to enhance DSCE. Please share your thoughts and suggestions via the “Contact us” link available on your personalized results page. Join IBM in the serve co revolution and transform your business with AI.
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Journey to AI | Analytics | Embeddable AI | AI and ML
Omkar Nimbalkar
Vice President, Ecosystem Engineering – WW Build Lab and Red Hat Marketplace
